Data-centric distributed computing on networks of mobile devices

Pedro Sanches, João A. Silva, António Teófilo, Hervé Paulino

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


In the last few years, we have seen a significant increase both in the number and capabilities of mobile devices, as well as in the number of applications that need more and more computing and storage resources. Currently, in order to deal with this growing need for resources, applications make use of cloud services. This raises some problems, namely high latency, considerable use of energy and bandwidth, and the unavailability of connectivity infrastructures. Given this context, for some applications it makes sense to do part, or all, of the computations locally on the mobile devices themselves. In this paper we present Oregano, a framework for distributed computing on mobile devices, capable of processing batches or streams of data generated on mobile device networks, without requiring centralized services. Contrary to current state-of-the-art, where computations and data are sent to worker mobile devices, Oregano performs computations where the data is located, significantly reducing the amount of exchanged data.

Original languageEnglish
Title of host publicationEuro-Par 2020
Subtitle of host publicationParallel Processing - 26th International Conference on Parallel and Distributed Computing, Proceedings
EditorsMaciej Malawski, Krzysztof Rzadca
Place of PublicationCham
Number of pages16
ISBN (Electronic)978-3-030-57675-2
ISBN (Print)978-3-030-57674-5
Publication statusPublished - 2020
Event26th International European Conference on Parallel and Distributed Computing, Euro-Par 2020 - Warsaw, Poland
Duration: 24 Aug 202028 Aug 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12247 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference26th International European Conference on Parallel and Distributed Computing, Euro-Par 2020


  • Distributed computing
  • Edge computing
  • Mobile devices


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